Markovian Workload Characterization for QoS Prediction in the Cloud.

Resource allocation in the cloud is usually driven by performance predictions, such as estimates of the future incoming load to the servers or of the quality-of-service (QoS) offered by applications to end users. In this context, characterizing web workload fluctuations in an accurate way is fundamental to understand how to provision cloud resources under time-varying traffic intensities. In this paper, we investigate the Markovian Arrival Processes (MAP) and the related MAP/MAP/1 queueing model as a tool for performance prediction of servers deployed in the cloud. MAPs are a special class of Markov models used as a compact description of the time-varying characteristics of workloads. In addition, MAPs can fit heavy-tail distributions, that are common in HTTP traffic, and can be easily integrated within analytical queueing models to efficiently predict system performance without simulating. By comparison with trace-driven simulation, we observe that existing techniques for MAP parameterization from HTTP log files often lead to inaccurate performance predictions. We then define a maximum likelihood method for fitting MAP parameters based on data commonly available in Apache log files, and a new technique to cope with batch arrivals, which are notoriously difficult to model accurately. Numerical experiments demonstrate the accuracy of our approach for performance prediction of web systems. © 2011 IEEE

A critique of the World Resources Institute's report "Pesticides and the immune system: the public health risks".

A recent World Resources Institute (WRI) report concluded that pesticides are a likely cause of immune suppression for millions of people throughout the world. The gravity of this conclusion motivated us to review the scientific evidence cited in the report. The predominant human evidence came from cross-sectional studies conducted in the former Soviet Union.These studies were difficult to evaluate due to incomplete reporting and had obvious limitations in terms of subject selection, exposure assessment,lack of quality control, statistical analysis, adequacy of the comparison group, and confounding. The toxicologic evidence was comprised mainly of acute high-dose studies in which the exposure conditions resulted in systemic toxicity. The relevance of these studies to effects at typical human exposure levels is questionable. We did not find consistent, credible evidence to support the conclusion of widespread pesticide-related immune suppression. Nonetheless, the WRI report is an important document because it focuses attention on a potentially important issue for future research and brings a substantial literature of foreign language studies to the attention of Western scientists

Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with a lifetime risk of one in 350 people and an unmet need for disease-modifying therapies. We conducted a cross-ancestry genome-wide association study (GWAS) including 29,612 patients with ALS and 122,656 controls, which identified 15 risk loci. When combined with 8,953 individuals with whole-genome sequencing (6,538 patients, 2,415 controls) and a large cortex-derived expression quantitative trait locus (eQTL) dataset (MetaBrain), analyses revealed locus-specific genetic architectures in which we prioritized genes either through rare variants, short tandem repeats or regulatory effects. ALS-associated risk loci were shared with multiple traits within the neurodegenerative spectrum but with distinct enrichment patterns across brain regions and cell types. Of the environmental and lifestyle risk factors obtained from the literature, Mendelian randomization analyses indicated a causal role for high cholesterol levels. The combination of all ALS-associated signals reveals a role for perturbations in vesicle-mediated transport and autophagy and provides evidence for cell-autonomous disease initiation in glutamatergic neurons

Localized unresectable neuroblastoma: results of treatment based on clinical prognostic factors

BACKGROUND: We previously reported that stage 3 neuroblastoma comprises (i) a low-risk group including all infants (age 0-11 months) as well as older children with non-abdominal primaries, and (ii) a high-risk group made up of children >1 year of age with abdominal primaries. Aggressive chemotherapy was effective only in the latter group. PATIENTS AND TREATMENT: On this basis, in 1990 we designed a new protocol by which all low-risk patients received standard-dose chemotherapy, while the high-risk ones received very aggressive chemotherapy. RESULTS: Between November 1990 and December 1997 a total of 95 eligible and evaluable children were enrolled: 47 were low-risk (35 infants and 12>1 year of age at diagnosis and having non-abdominal primaries), and 48 were high-risk (being >1 year of age and having abdominal primaries). Of the 47 low-risk patients, five relapsed and four subsequently died. The 5-year overall survival (OS) was 91%. Of the 48 patients in the high-risk group, 22 relapsed or progressed, 18 of whom died from their disease and two from toxicity, and one was lost to follow-up. The 5-year OS was 60%. Univariate analysis showed that age, site of primary, risk-group, urine vanillylmandelic excretion, plasma levels of lactate dehydrogenase, ferritin and neurone-specific enolase, and MYCN status correlated with outcome. However, multivariate analysis showed that only MYCN status retained prognostic value. CONCLUSIONS: In low-risk stage 3 neuroblastoma, standard-dose chemotherapy is associated with an excellent chance of being cured. Aggressive chemotherapy is effective for high-risk patients, but results are still unsatisfactory. MYCN gene amplification is a prognostic indicator for most, but not all, treatment failures